Hammad Khalid
Impact in
- Software top 5%
- Information Systems top 2%
- Software Engineering Research
- Software Engineering Techniques and Practices
- Web Data Mining and Analysis
- Mobile and Web Applications
Papers in
-
- Mobile and Web Applications 5
- Software Engineering Research 4
- Software Engineering Techniques and Practices 3
- Web Data Mining and Analysis 2
-
- Advanced Malware Detection Techniques 3
- Co-authors
- Ahmed E. Hassan (4 shared papers)Meiyappan Nagappan (3 shared papers)Emad Shihab (2 shared papers)Nasir Ali (1 shared paper)Stuart Mcilroy (1 shared paper)Abdulfetah Shobole (1 shared paper)Zi Ye (1 shared paper)
- Journals
- IEEE Software (2 papers)Empirical Software Engineering (1 paper)Electric Power Systems Research (1 paper)2013 35th International Conference on Software Engineering (ICSE) (1 paper)QSpace (Queen's University Library) (1 paper)
- Partner nations
- CanadaUnited StatesTürkiye
In The Last Decade
Hammad Khalid
8 papers receiving 617 citations
Hammad Khalid's Hit Papers
Peers
Comparison fields: 5 of 56
- Software 80
- Information Systems 367
- Computer Science Applications 76
- Signal Processing 143
- Human-Computer Interaction 62
Countries citing papers authored by Hammad Khalid
This map shows the geographic impact of Hammad Khalid's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hammad Khalid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hammad Khalid more than expected).
Fields of papers citing papers by Hammad Khalid
This network shows the impact of papers produced by Hammad Khalid. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hammad Khalid. The network helps show where Hammad Khalid may publish in the future.
Co-authors
The 7 scholars most cited alongside Hammad Khalid, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | What Do Mobile App Users Complain About? Hit paper breakdown → | 2014 | 302 |
| 2 | 2015 | 126 | |
| 3 | 2014 | 64 | |
| 4 | 2020 | 50 | |
| 5 | 2013 | 36 | |
| 6 | 2015 | 29 | |
| 7 | 2010 | 25 | |
| 8 | On The Link Between Mobile App Quality And User Reviews | 2014 | 2 |
About Hammad Khalid
Hammad Khalid is a scholar working on Information Systems, Signal Processing, Electrical and Electronic Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 8 papers that have together received 634 indexed citations. Recurring topics across this work include Mobile and Web Applications (5 papers), Software Engineering Research (4 papers), Software Engineering Techniques and Practices (3 papers), Advanced Malware Detection Techniques (3 papers), Web Data Mining and Analysis (2 papers), Interactive and Immersive Displays (1 paper), Green IT and Sustainability (1 paper) and Islanding Detection in Power Systems (1 paper). The work is most often cited by research in Software (80 citations), Information Systems (367 citations), Computer Science Applications (76 citations), Signal Processing (143 citations) and Human-Computer Interaction (62 citations). Hammad Khalid has collaborated with scholars based in Canada, United States and Türkiye. Frequent co-authors include Ahmed E. Hassan, Meiyappan Nagappan, Emad Shihab, Nasir Ali, Stuart Mcilroy, Abdulfetah Shobole and Zi Ye. Their work appears in journals such as IEEE Software, Empirical Software Engineering, Electric Power Systems Research, 2013 35th International Conference on Software Engineering (ICSE) and QSpace (Queen's University Library).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.